A genome scan for QTL influencing milk production and health traits in dairy cattle

Author:

HEYEN D. W.1,WELLER J. I.2,RON M.2,BAND M.1,BEEVER J. E.1,FELDMESSER E.2,DA Y.1,WIGGANS G. R.3,VanRADEN P. M.3,LEWIN H. A.1

Affiliation:

1. Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801

2. Institute of Animal Sciences, Agricultural Research Organization, the Volcani Center, Bet Dagan 50250, Israel

3. United States Department of Agriculture-Agricultural Research Service, Animal Improvement Programs Laboratory, Beltsville, Maryland 20705–2350

Abstract

Heyen, D. W., J. I. Weller, M. Ron, M. Band, J. E. Beever, E. Feldmesser, Y. Da, G. R. Wiggans, P. M. VanRaden, and H. A. Lewin. A genome scan for QTL influencing milk production and health traits in dairy cattle. Physiol. Genomics 1: 165–175, 1999.—A genome scan was conducted in the North American Holstein-Friesian population for quantitative trait loci (QTL) affecting production and health traits using the granddaughter design. Resource families consisted of 1,068 sons of eight elite sires. Genome coverage was estimated to be 2,551 cM (85%) for 174 genotyped markers. Each marker was tested for effects on milk yield, fat yield, protein yield, fat percentage, protein percentage, somatic cell score, and productive herd life using analysis of variance. Joint analysis of all families identified marker effects on 11 chromosomes that exceeded the genomewide, suggestive, or nominal significance threshold for QTL effects. Large marker effects on fat percentage were found on chromosomes 3 and 14, and multimarker regression analysis was used to refine the position of these QTL. Half-sibling families from Israeli Holstein dairy herds were used in a daughter design to confirm the presence of the QTL for fat percentage on chromosome 14. The QTL identified in this study may be useful for marker-assisted selection and for selection of a refined set of candidate genes affecting these traits.

Publisher

American Physiological Society

Subject

Genetics,Physiology

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